We live in an accelerated world, a frantic whirlwind where hurry has become our default state.
Trapped in a dynamic where the pace of the context and market indicators demand complex decisions at a frenetic speed, there seems to be little room for doubt. Yet in the middle of this marathon to automate processes, reconfigure structures, and optimize resources, we risk acting like automatons programmed to move full speed ahead, yet incapable of knowing when or how to brake.
When the answer to any question is a single click away, wandering and deep debate are wiped out entirely. The underlying problem isn't the technology itself, but the gradual atrophy of the mental gymnastics involved in exploring a problem without a predetermined map. In her book A Field Guide to Getting Lost, American writer Rebecca Solnit reflects on the value of geographic and conceptual disorientation as fertile ground for thought. It's precisely when we move away from absolute certainties that deep observation, genuine curiosity, and the creativity essential for solving the unexpected awaken.
Posing a riddle and playing at solving it lightheartedly — without the urgency of an immediate answer — exploring ridiculous possible answers, laughing out loud at delirious hypotheses, or getting nowhere but having discovered a new possibility is, in my opinion, a treasure we should protect.
If, in the process of shaping new generations, we eliminate the chance to make mistakes, to search for explanations on their own, and to walk the full analytical path, we'll end up molding hyperconnected professionals who are incapable of challenging the information a screen hands back to them.
To lead in the age of artificial intelligence, you need your own judgment, and it can't be bought on a platform. Technology today processes gigantic volumes of data and generates formal structures in seconds, and it's this speed and the tone in which it presents information that can be misleading. How do you argue with something capable of an answer so fast that it sounds so intelligent? It would seem that artificial intelligence never gets lost.
The good news is that AI still lacks immediate context, empathy, and relational sensitivity. A technical report can be automated, but the ability to read the mood of a meeting room, sustain a difficult conversation face to face, or interpret the emotional dynamics behind a crisis remains exclusively human territory.
The courage of presence and the cost of not slowing down
I'm not the first person to argue that the true test of contemporary leadership isn't measured by the sophistication of its digital tools, but by the quality of its conversations. In moments of transformation and uncertainty, the temptation to hide behind impersonal announcements or solutions executed from a distance is extremely high. Yet caring for the human factor requires putting your body on the line, prioritizing present time, and accepting the discomfort of getting lost when we don't have all the answers.
Saying "I don't have time" has become the standard organizational mantra to justify a lack of depth. But that constant rush directly undermines the soundness of our decisions. When we operate permanently on autopilot, we disconnect from operational reality and from the emotional impact our decisions have on the broader system. The real management challenge is creating conscious pauses: stopping to read the field, explore the possibilities, understand that behind every adjustment of the numbers there are lives and personal stories, and open spaces for genuine listening, even when the messages to be delivered aren't the most welcome.
Breaking inertia doesn't mean paralyzing operations or ignoring the urgency of results, but introducing strategic pauses that allow us to process the shocks of the environment and calibrate the purpose of the organization; pauses that let us step back, think, and "recalculate" before moving forward.
Reinventing talent development in the algorithmic era
This accelerated reconfiguration of the work environment forces us to hack the way we develop future leaders. Traditional training schemes, focused on mere data transmission or the delegation of repetitive operational tasks, have become obsolete. If the initial analysis tasks or matrix building that once served as training are now solved in seconds by algorithms, a critical question opens up: where and how will tomorrow's senior profiles be formed?
The answer doesn't lie in demanding more hours at a desk, but in connecting professionals with analog, creative, and relational experiences that invite them to wander, explore, try, make mistakes, reflect, and learn. We need to redesign development programs so that learning happens on the field again, through direct observation, the facilitation of collective spaces, and the stimulation of critical thinking. Learning to question and validate what artificial intelligence produces demands a conceptual mastery that is only built through reflective practice and close guidance.
I believe the key is to drive a development model that harmoniously integrates the power of automation with the most fundamental human capabilities: intuition, contextual synthesis, trust-building, and the capacity to connect. Technology should operate as a starting point that frees up time for what's essential, not as a shortcut that replaces personal discernment.
Ultimately, leading in highly volatile contexts isn't about having all the certainties in advance, but about cultivating the composure needed to navigate the unknown without losing our humanity along the way. Getting lost in order to find ourselves, again and again.
By Paula De Caro, partner at Olivia.